Compressed sensing for chemical shift-based water-fat separation

Mariya Doneva*, Peter Börnert, Holger Eggers, Alfred Mertins, John Pauly, Michael Lustig

*Corresponding author for this work
38 Citations (Scopus)


Multi echo chemical shift-based water-fat separation methods allow for uniform fat suppression in the presence of main field inhomogeneities. However, these methods require additional scan time for chemical shift encoding. This work presents a method for water-fat separation from undersampled data (CS-WF), which combines compressed sensing and chemical shift-based water-fat separation. Undersampling was applied in the k-space and in the chemical shift encoding dimension to reduce the total scanning time. The method can reconstruct high quality water and fat images in 2D and 3D applications from undersampled data. As an extension, multipeak fat spectral models were incorporated into the CS-WF reconstruction to improve the water-fat separation quality. In 3D MRI, reduction factors of above three can be achieved, thus fully compensating the additional time needed in three-echo water-fat imaging. The method is demonstrated on knee and abdominal in vivo data.

Original languageEnglish
JournalMagnetic Resonance in Medicine
Issue number6
Pages (from-to)1749-1759
Number of pages11
Publication statusPublished - 01.12.2010


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